{"title":"多通道网络安全新闻和威胁智能引擎——SecBuzzer","authors":"Shin-Ying Huang, Yennun Huang, Ching-Hao Mao","doi":"10.1145/3341161.3345309","DOIUrl":null,"url":null,"abstract":"Cyber threat such as malware and exploit have causes significant losses to the economy and has become a lucrative form of illicit business by leveraging the darkweb as a communication channel. To understand more about the emerging cyber threats of attacking tools and its actors, a threat intelligence collecting mechanism is proposed for identifying the emerging threat. With crowdsourcing intelligence and public threat intelligence such as NVD and CERT, it is able to leverage multiple sources of information and provide domain-specific security intelligence. In addition, we propose a network-based darkweb cyberthreat alert model, which can well represent and visualize actors' similarity and thus uncover the vulnerable vendor (organization) exposed in the underground markets.","PeriodicalId":403360,"journal":{"name":"2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A multi-channel cybersecurity news and threat intelligent engine - SecBuzzer\",\"authors\":\"Shin-Ying Huang, Yennun Huang, Ching-Hao Mao\",\"doi\":\"10.1145/3341161.3345309\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Cyber threat such as malware and exploit have causes significant losses to the economy and has become a lucrative form of illicit business by leveraging the darkweb as a communication channel. To understand more about the emerging cyber threats of attacking tools and its actors, a threat intelligence collecting mechanism is proposed for identifying the emerging threat. With crowdsourcing intelligence and public threat intelligence such as NVD and CERT, it is able to leverage multiple sources of information and provide domain-specific security intelligence. In addition, we propose a network-based darkweb cyberthreat alert model, which can well represent and visualize actors' similarity and thus uncover the vulnerable vendor (organization) exposed in the underground markets.\",\"PeriodicalId\":403360,\"journal\":{\"name\":\"2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3341161.3345309\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3341161.3345309","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A multi-channel cybersecurity news and threat intelligent engine - SecBuzzer
Cyber threat such as malware and exploit have causes significant losses to the economy and has become a lucrative form of illicit business by leveraging the darkweb as a communication channel. To understand more about the emerging cyber threats of attacking tools and its actors, a threat intelligence collecting mechanism is proposed for identifying the emerging threat. With crowdsourcing intelligence and public threat intelligence such as NVD and CERT, it is able to leverage multiple sources of information and provide domain-specific security intelligence. In addition, we propose a network-based darkweb cyberthreat alert model, which can well represent and visualize actors' similarity and thus uncover the vulnerable vendor (organization) exposed in the underground markets.